Results 1 to 10 of about 572,061 (268)

Improving Ultrasonic Testing by Using Machine Learning Framework Based on Model Interpretation Strategy

Chinese Journal of Mechanical Engineering, 2023
Ultrasonic testing (UT) is increasingly combined with machine learning (ML) techniques for intelligently identifying damage. Extracting significant features from UT data is essential for efficient defect characterization.
Siqi Shi, Shijie Jin, Donghui Zhang, Jingyu Liao, Dongxin Fu, Li Lin   +5 more
doaj   +3 more sources

Advances of Machine Learning in Phased Array Ultrasonic Non-Destructive Testing: A Review

AI
Recent advancements in machine learning (ML) have led to state-of-the-art performance in various domain-specific tasks, driving increasing interest in its application to non-destructive testing (NDT). Among NDT techniques, phased array ultrasonic testing
Yiming Na, Yunze He, Baoyuan Deng, Xiaoxia Lu, Hongjin Wang, Liwen Wang, Yi Cao   +6 more
doaj   +3 more sources

The Influence of the Hardness of the Tested Material and the Surface Preparation Method on the Results of Ultrasonic Testing

Applied Sciences, 2023
Non-destructive ultrasonic testing can be used to assess the properties and condition of real machine elements during their operation, with limited (one-sided) access to these elements.
Jakub Kowalczyk, Marian Jósko, Daniel Wieczorek, Kamil Sędłak, Michał Nowak   +4 more
doaj   +2 more sources

Unsupervised machine learning for flaw detection in automated ultrasonic testing of carbon fibre reinforced plastic composites

Ultrasonics, 2023
The use of Carbon Fibre Reinforced Plastic (CFRP) composite materials for critical components has significantly surged within the energy and aerospace industry. With this rapid increase in deployment, reliable post-manufacturing Non-Destructive Evaluation (NDE) is critical for verifying the mechanical integrity of manufactured components.
Vedran Tunukovic, Shaun McKnight, Richard Pyle, Zhiming Wang, Ehsan Mohseni, S. Gareth Pierce, Randika K. W. Vithanage, Gordon Dobie, Charles N. MacLeod, Sandy Cochran, Tom O'Hare   +10 more
openaire   +4 more sources

Using Support Vector Machine to Improve Ultrasonic Pulse Velocity Test for Concrete [PDF]

MATEC Web of Conferences, 2018
In the construction industry, to evaluate the compressive strength of concrete, destructive and non-destructive testing methods are used. Non-destructive testing methods are preferable due to the fact that those methods do not destroy concrete samples ...
Loan Ngo Tu Quynh, Wang Yu-Ren
doaj   +2 more sources

Classification of ultrasonic signals of thermally aged cast austenitic stainless steel (CASS) using machine learning (ML) models

Nuclear Engineering and Technology, 2022
Cast austenitic stainless steels (CASSs) are widely used as structural materials in the nuclear industry. The main drawback of CASSs is the reduction in fracture toughness due to long-term exposure to operating environment.
Jin-Gyum Kim, Changheui Jang, Sung-Sik Kang   +2 more
doaj   +2 more sources

Machine learning techniques to evaluate the ultrasonic pulse velocity of hybrid fiber-reinforced concrete modified with nano-silica

Frontiers in Materials, 2022
It is evident that preparing materials, casting samples, curing, and testing all need time and money. The construction sector will benefit if these problems can be handled using cutting-edge techniques like machine learning. Also, a material’s ultrasonic
Kaffayatullah Khan, Muhammad Nasir Amin, Umbreen Us Sahar, Waqas Ahmad, Kamran Shah, Abdullah Mohamed   +5 more
doaj   +2 more sources

Predicting Intrahepatic Cholestasis of Pregnancy: A Retrospective Cohort Study of a Comprehensive Clinical Prediction Model [PDF]

International Journal of General Medicine
Huan Liang,1 Ye Tian,2 Jie Gao,3 Jing Teng4 1Department of Gynecology,The Central Hospital of Enshi Tujia and Miao Autonomous Prefectrue, Enshi, Hubei, 445000, People’s Republic of China; 2School of Medicine,Hubei Minzu University, Enshi, Hubei, 445000 ...
Liang H, Tian Y, Gao J, Teng J
doaj   +2 more sources

Evaluation Performance of Ultrasonic Testing on Fruit Quality Determination

Journal of Food Quality, 2019
There are several destructive and nondestructive methods for quality evaluation of agricultural products. Most of the employed traditional techniques are time-consuming and involve considerable degree of manual works.
Fikret Yildiz, Ahmet Turan Özdemir, Selman Uluışık   +2 more
doaj   +2 more sources

Fatigue lifetime of AlBC(3) alloy by ultrasonic fatigue testing machine in cavitation regime

The Journal of Engineering, 2015
In this study, the influence of ultrasonic nanocrystalline surface modification (UNSM) technique on the cavitation fatigue properties of AlBC(3) alloy was investigated.
I.S. Cho, A. Amanov, I.G. Park
doaj   +2 more sources